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Emulating complex causal socio-ecological models in digital twins of ocean

Objective

To fully realise the potential of the European Digital Twin Ocean (DTO) to empower citizens, entrepreneurs, scientists and policymakers with accessible knowledge about ocean and coastal domains, new models, tools and methods are needed to understand and assess the complex interactions of social, economic and ecological factors. ECOTWIN delivers innovative graph theoretic solutions, developed using a multi-actor approach with policy makers, local communities, marine and coastal industries and communities, to address the challenges of modelling marine socio-ecological systems and integrating these models into the emerging DTO framework. Innovations include four different classes of novel socio-ecological models based on concepts from mathematics (graph theory), control engineering (stability), computer science (generative AI), statistics (Bayesian theory) and information science (entropy), combined with dynamic participatory feedback from stakeholders, and methodological protocols enabling seamless integration with DTOs by accounting for the interoperability, accessibility, reliability and sustainability of transdisciplinary data. The models comprise: 1) quantitative causal graph theoretic models, 2) qualitative causal graph theoretic models, 3) network models with participatory feedback and 4) parallel generative AI models. Through validation in four use cases in the North Sea (Belgium, Germany), Celtic Sea (Ireland), Thracian Sea (Greece) and Waterford Harbour (Ireland), tools will be developed for assessing scenarios including the relationships between factors including ecosystem services and health, geopolitical factors, fishing job losses, tourism and marine renewables development. Results will enable what-if scenario analysis and impact assessments, exploring the interconnected impacts of environmental changes, human pressures and policy implementation to empower better decision-making to support ocean health social prosperity and a thriving blue economy.

Fields of science (EuroSciVoc)

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

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Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-RIA - HORIZON Research and Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-MISS-2023-OCEAN-01

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Coordinator

THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD, OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 699 178,75
Address
COLLEGE GREEN TRINITY COLLEGE
D02 CX56 Dublin
Ireland

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Region
Ireland Eastern and Midland Dublin
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 699 178,75

Participants (7)

Partners (1)

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